Preterm birth remains a major challenge in obstetrics. It complicates up to 13% of all pregnancies and accounts for approximately 80% of neonatal mortality and morbidity. Bacterial Vaginosis (BV) is associated with a 1.4-fold increased risk of preterm birth. Due to ineffectiveness of antibiotics in preventing preterm labour, probiotics have been proposed to serve as an alternative for treatment of BV and prevention of preterm birth. The objectives of this thesis were to determine 1) the effect of Lactobacillus rhamnosus GR-1 (L. rhamnosus GR-1) supernatant on cytokine profile and prostaglandin (PG)-regulating enzyme expression in lipopolysaccharide (LPS)-stimulated human chorion and placental trophoblast cells from human placentae, 2) the potential signaling pathways through which lactobacilli act and 3) the potential role of immune and placental trophoblast cells in initiating a response to LPS and L. rhamnosus GR-1 treatments. Primary cultures of human placental trophoblast cells were pre-treated with lactobacilli supernatant and then with LPS. In addition, immune cells were removed from cell suspensions using a magnetic purification technique to determine their role in modulating cytokine levels. The expression of pro- and anti-inflammatory cytokines and prostaglandin-regulating enzymes was then determined. We found sex-specific differences in the ability of LPS to increase the output of TNF-α, IL-10, and PTGS2. We also showed that L. rhamnosus GR-1 is able to act through the JAK/STAT and MAPK pathways to increase IL-10 and G-CSF, and independently down-regulates PTGS2 and TNF-α and up-regulates PGDH. The increase in G-CSF and PGDH were only observed in women carrying a female fetus. L. rhamnosus GR-1 may serve as an alternative to antibiotics in preventing some infection/inflammation-mediated cases of preterm birth.
Identifer | oai:union.ndltd.org:TORONTO/oai:tspace.library.utoronto.ca:1807/32035 |
Date | 18 January 2012 |
Creators | Yeganegi, Maryam |
Contributors | Bocking, Alan, Challis, John R. G. |
Source Sets | University of Toronto |
Language | en_ca |
Detected Language | English |
Type | Thesis |
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